Nothing
gcplyr: Wrangle and Analyze Growth Curve Data
Easy wrangling and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
Getting started
README.md
Analyzing data
Best practices and other tips
Dealing with noise
Importing and reshaping data
Incorporating experimental designs
Introduction to using gcplyr
Pre-processing and plotting data
Processing data
Using make_design to generate experimental designs
Working with multiple plates
Analyzing data"
Best practices and other tips"
Dealing with noise"
Importing and reshaping data"
Incorporating experimental designs"
Introduction to using gcplyr"
Pre-processing and plotting data"
Processing data"
Using make_design to generate experimental designs"
Working with multiple plates"
Browse package contents
Package details |
|
|---|---|
| Author | Mike Blazanin [aut, cre] (<https://orcid.org/0000-0003-4630-6235>) |
| Maintainer | Mike Blazanin <mikeblazanin@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.10.0 |
| URL | https://mikeblazanin.github.io/gcplyr/ https://github.com/mikeblazanin/gcplyr/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the gcplyr package in your browser
Any scripts or data that you put into this service are public.
